About Flownium
Flownium is a technology company building the AI governance layer for regulated industries. We structure critical processes into versioned, approved workflows that run entirely inside our customers' infrastructure. No data leaves the environment, and every AI-driven decision is traceable, justified, and audit-ready.
Company information
- Website
- flownium.ai
- General inquiries
- contact@flownium.ai
- Security disclosures
- security@flownium.ai
- Industry
- AI governance for regulated industries
Leadership
A biotechnology engineer, Michael has spent over 10 years in highly regulated industrial environments (pharma and medical devices). He has led Quality and MSAT departments, managed complex investigations and driven operational transformation programs. In direct contact with operations, one reality stands out: systems document processes. They don't structure decision-making. Flownium was born from this field reality: turning decisions into the engine of critical process execution.
A CentraleSupélec engineering graduate, Victor has over 10 years of experience in engineering and technology platform development. He has designed architectures capable of supporting distributed, complex and highly scalable systems. At Flownium, he designs the infrastructure that allows AI to be integrated directly into operational workflows. An architecture designed to: • connect existing systems • structure process execution • ensure traceability, governance and robustness
Advisory board
Arie Menachem has spent his 30+ year career in the pharmaceutical industry on both sides of the inspection table. During his nearly six years as an FDA Investigator, he inspected close to 60 pharmaceutical manufacturing sites and saw first hand where quality systems hold, and where they give way under scrutiny. He now works on the industry side of quality and is active within as Chair of the ISPE Nordic Affiliate, where he helps the community keep pace with digitalisation and AI. He joins Flownium's advisory board to challenge the way it is built: what regulators actually expect from AI in GxP processes, and what it takes for a company to prove its quality work rather than simply claim it.